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Insights from EEG analysis of evoked memory recalls using deep learning for emotion charting.

• Authors : Dar MN; National University of Sciences and Technology, Islamabad, 44000, Pakistan. .; Akram MU

Subjects: Electroencephalography*/Electroencephalography*/Electroencephalography*/methods ; Emotions*/Emotions*/Emotions*/physiology ; Deep Learning*

• Source: Scientific reports [Sci Rep] 2024 Jul 24; Vol. 14 (1), pp. 17080. Date of Electronic Publication: 2024 Jul 24.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Research on helmet wearing detection method based on deep learning.

• Authors : Wei L; School of Artificial Intelligence and Big Data, Hulunbeier University, Inner Mongolia, 021008, Hailar, China.; Liu P

Subjects: Deep Learning* ; Construction Industry*; Humans

• Source: Scientific reports [Sci Rep] 2024 Mar 25; Vol. 14 (1), pp. 7010. Date of Electronic Publication: 2024 Mar 25.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Automated detection and recognition system for chewable food items using advanced deep learning models.

• Authors : Kumar Y; Department of CSE, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India.; Koul A

Subjects: Deep Learning*; Humans ; Recognition, Psychology

• Source: Scientific reports [Sci Rep] 2024 Mar 19; Vol. 14 (1), pp. 6589. Date of Electronic Publication: 2024 Mar 19.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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AMDDLmodel: Android smartphones malware detection using deep learning model.

• Authors : Aamir M; Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan.; Iqbal MW

Subjects: Smartphone* ; Deep Learning*; Computers, Handheld

• Source: PloS one [PLoS One] 2024 Jan 19; Vol. 19 (1), pp. e0296722. Date of Electronic Publication: 2024 Jan 19 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier.

• Authors : Jang J; Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.; Vascular Biology Program, Boston Children's Hospital, Boston, MA, 02115, USA.

Subjects: Deep Learning*; Humans ; Biopsy, Fine-Needle

• Source: Scientific reports [Sci Rep] 2023 Aug 19; Vol. 13 (1), pp. 13525. Date of Electronic Publication: 2023 Aug 19.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Aphid cluster recognition and detection in the wild using deep learning models.

• Authors : Zhang T; Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, 66045, USA.; Li K

Subjects: Aphids* ; Deep Learning*; Animals

• Source: Scientific reports [Sci Rep] 2023 Aug 17; Vol. 13 (1), pp. 13410. Date of Electronic Publication: 2023 Aug 17.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Deep learning-based breast cancer diagnosis with multiview of mammography screening to reduce false positive recall rate.

• Authors : KARAGÖZ, Meryem Altın^1,2 ; NALBANTOĞLU, O. Ufuk^2,3,4; KARABOĞA, Derviş^2,3

• Source: Turkish Journal of Electrical Engineering & Computer Sciences. 2024, Vol. 32 Issue 3, p382-402. 21p.

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A deep learning method to more accurately recall known lysine acetylation sites.

• Authors : Wu M; Department of Information and Computer Science, University of Science and Technology Beijing, Beijing, 100083, China.; Yang Y

Subjects: Deep Learning/Deep Learning/Deep Learning/*standards ; Lysine/Lysine/Lysine/*chemistry ; Protein Processing, Post-Translational/Protein Processing, Post-Translational/Protein Processing, Post-Translational/*genetics

• Source: BMC bioinformatics [BMC Bioinformatics] 2019 Jan 23; Vol. 20 (1), pp. 49. Date of Electronic Publication: 2019 Jan 23.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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Enhancing Sun-Dried Kelp Detection: Introducing K-YOLO, a Lightweight Model with Improved Precision and Recall.

• Authors : Zhefei Xiao¹ (AUTHOR) ; Ye Zhu¹ (AUTHOR) ; Yang Hong¹ (AUTHOR)

• Source: Sensors (14248220). 3/15/2024, Vol. 24 Issue 6, p1-18. 18p. 1 Color Photograph, 2 Diagrams, 6 Charts, 6 Graphs.

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A matter of annotation: an empirical study on in situ and self-recall activity annotations from wearable sensors

• Authors : Alexander Hoelzemann; Kristof Van Laerhoven

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; data annotation ambiguity

• Source: Frontiers in Computer Science, Vol 6 (2024)

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